使用企业服务总线评估云数据访问的缓存策略

Santiago Gómez Sáez, V. Andrikopoulos, F. Leymann, Steve Strauch
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引用次数: 8

摘要

如今,不同的云服务使企业能够将应用程序迁移到云上。通过使用云服务替换应用程序的某些组件,或者通过将其一个或多个层迁移到云,可以对应用程序进行部分迁移。因此,访问存储在外部的应用程序数据需要一些机制来减轻对服务质量(QoS)的负面影响,例如由于网络延迟。在这项工作中,我们提出并实现了一种使用多租户开源企业服务总线(ESB)作为基础透明访问迁移到云的数据的方法。此外,我们通过将ESB与开源缓存解决方案集成来增强ESB的QoS感知能力。出于评估目的,我们使用来自TPC-H基准测试的数据生成一个具有代表性的应用程序工作负载。在此工作负载的基础上,我们在访问位于不同云提供商的关系数据库时,评估多个驱逐算法之间的最佳缓存策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating Caching Strategies for Cloud Data Access Using an Enterprise Service Bus
Nowadays different Cloud services enable enterprises to migrate applications to the Cloud. An application can be partially migrated by replacing some of its components with Cloud services, or by migrating one or multiple of its layers to the Cloud. As a result, accessing application data stored off-premise requires mechanisms to mitigate the negative impact on Quality of Service (QoS), e.g. due to network latency. In this work, we propose and realize an approach for transparently accessing data migrated to the Cloud using a multi-tenant open source Enterprise Service Bus (ESB) as the basis. Furthermore, we enhance the ESB with QoS awareness by integrating it with an open source caching solution. For evaluation purposes we generate a representative application workload using data from the TPC-H benchmark. Based on this workload, we then evaluate the optimal caching strategy among multiple eviction algorithms when accessing relational databases located at different Cloud providers.
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